Product Manager & Software Engineer
Building AI-powered tools and shipping products that solve real problems. M.S. Industrial Engineering + B.S. Computer Engineering, Binghamton University.
I'm Aslam Aliyu — a Product Manager and Software Engineer based in New York City. I hold an M.S. in Industrial Engineering and a B.S. in Computer Engineering from Binghamton University, and I build at the intersection of product strategy and technical execution.
Currently at Uplifty AI, I lead product for an AI-powered iOS/Android platform — from roadmap definition to Alpha launch. My north star: close the gap between what users need and what engineering can ship.
Years Experience
Projects Shipped
Graduate Degrees
Across four disciplines — from roadmap to runtime.
Roadmapping, sprint execution, and shipping features users love. From discovery to launch.
End-to-end pipelines from model selection to production deployment on cloud and edge.
React frontends, FastAPI backends, and scalable database design built for production.
SQL optimization, automation, and embedded systems integration across complex stacks.
AI / ML
End-to-end video captioning and summarization platform. Uploads go through a FastAPI pipeline powered by OpenAI Whisper, generating time-synced captions and AI summaries with a clean React UI.
Fintech / AI
Smart receipt parser achieving 91% accuracy with OCR + NLP + Hugging Face models. Reduces manual expense entry by 75%, auto-categorises line items, and integrates with personal finance workflows.
Robotics / Edge AI
Software Lead on a Lockheed Martin–sponsored senior capstone. Implemented road following, obstacle detection (95% accuracy), and variable throttle using Nvidia Jetson + PyTorch + OpenCV on embedded hardware.
Embedded Systems
Digital logic design and hardware simulation using VHDL on Xilinx FPGAs. Projects include a multi-cycle ARM processor, adder circuits, and state-machine implementations verified through Vivado simulation suites.
NYC-based, always building — some moments outside the code.
My toolkit spans the full product and engineering lifecycle — from ML model training to production deployment.
Core proficiencies across the stack.
Open to PM roles, software engineering positions, and AI product consulting. Always down for an interesting conversation.